COmputatioNal Imaging as a training Network for Smart biomedical dEvices

What is CONcISE?

Funded within the framework of the Marie Skłodowska-Curie Actions (MSCA) of the European Union (EU), and coordinated by Consiglio Nazionale delle Ricerche, CONcISE is a new doctoral network set to bring to the market more data-efficient and quality-oriented techniques for biomedical optical imaging in biological tissues. The project follows an interdisciplinary approach, bringing together experts from academia and industry to develop novel, unconventional, and multi-dimensional computational imaging devices for biological tissues, where the hardware and the software are completely integrated and developed together.
The project aims to overcome traditional limitations of the current biomedical instrumentation, which focus on the maximisation of the data acquired. Current devices gather data regardless of its quality, unavoidably leading to a large amount of data to manage, transfer, and analyse and thus creating data bottlenecks and gaps in measurements.

Key facts about the project

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Latest news

The CONcISE way of imaging

The extensive use of imaging techniques, which are used to extract information from objects of interest such as the human body, microorganisms, or black holes, has been instrumental in addressing challenges in various fields including medicine, biology, and astronomy. Under certain principles, each of these evolving fields has developed its

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CONcISE launches its first DC newsletter

The primary purpose of this newsletter is to share information about ongoing research, project objectives, and the daily experiences of PhD students, as well as to provide updates on their participation in conferences and events! If you are not yet familiar with the CONcISE Project, the first article of this

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Unveiling Machine Learning and Adaptive Systems

On May 29th and 31st, Serban Cristian Tudosie (Fig. 1) and Marcos Obando (Fig.2), candidates of the CONcISE doctoral training network, gave two special lectures on Machine Learning and Adaptive Systems. Hosted at Politecnico di Milano, the lectures introduced elements of machine learning and provided insightful material on the possible

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